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Operational Data Analyst Jobs (NOW HIRING)

System One

Operations Data Analyst

Indianapolis, IN · On-site

$59.69 - $70.22/hr

Analyze operational data using SQL and Excel to identify trends, support issue resolution, and document KPIs. * Ensure data quality, availability, and compliance with HIPAA and data governance ...

kgs

Data Analyst (HQ)

Washington, DC · Hybrid

Collect, validate, and consolidate operational data submissions from site-level operations teams ... Conduct in-depth analysis of program-wide operational data including call volumes, ticket trends ...

kgs

Data Analyst (HQ)

Washington, DC · Hybrid

Collect, validate, and consolidate operational data submissions from site-level operations teams ... Conduct in-depth analysis of program-wide operational data including call volumes, ticket trends ...

Koniag, Inc.

Data Analyst (HQ)

Washington, DC · On-site

Collect, validate, and consolidate operational data submissions from site-level operations teams ... Conduct in-depth analysis of program-wide operational data including call volumes, ticket trends ...

Sunrise Systems, Inc.

Operations Data Analyst

Dublin, CA · On-site

$49.65 - $50/hr

Collaborate with Data Management and business teams to support operational analysis. * Communicate clear, concise, and actionable findings to stakeholders. * Ensure data projects are completed ...

Jobs for Humanity

Data Analyst

New York, NY · Remote

$55 - $60/hr

About this Position Join a fast-paced Product Operations team focused on improving product ... Analyze operational data to identify trends, risks, and improvement opportunities * Build and ...

HireWorks, LLC

Data Analyst

Dallas, TX · On-site

This position is ideal for someone who is analytical, detail-oriented, and interested in using data to support business and operational decisions across the energy industry. The Data Analyst will ...

New

Capital I, LLC

Operations Data Analyst

Frederick, MD · On-site

$115K - $150K/yr

Collects, validates, and analyzes data from Army and/or DOD systems to support operational assessments, identify trends and inefficiencies, and produce accurate, actionable analytic products.

Capital I, LLC

Operations Data Analyst

Frederick, MD

$115K - $150K/yr

Collects, validates, and analyzes data from Army and/or DOD systems to support operational assessments, identify trends and inefficiencies, and produce accurate, actionable analytic products.

fairlife

Operations Data Analyst

Goodyear, AZ · On-site

Analyze operational datasets to uncover insights and trends to enable decision making at all levels ... Ensure data governance practices are aligned and upheld within the Decision Intelligence teams ...

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Operational Data Analyst information

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How much do operational data analyst jobs pay per year?

As of Aug 25, 2026, the average yearly pay for operational data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What is an operational data analyst?

An Operational Data Analyst is a professional who collects, analyzes, and interprets data related to an organization's daily operations. Their main goal is to identify trends, inefficiencies, and opportunities for process improvement by working closely with operational teams. They use various data analysis tools and methods to create reports, dashboards, and actionable insights that support decision-making. Operational Data Analysts often collaborate with different departments to ensure data accuracy and optimize business performance.

What are the key skills and qualifications needed to thrive as an operational data analyst, and why are they important?

To thrive as an Operational Data Analyst, you need strong analytical abilities, statistical knowledge, and experience with data management, often supported by a degree in data science, statistics, or a related field. Proficiency in data analysis tools such as SQL, Excel, Python, and business intelligence platforms like Tableau or Power BI is typically required. Excellent problem-solving skills, attention to detail, and effective communication help analysts interpret complex information and share actionable insights with stakeholders. These skills are crucial for optimizing business processes, enabling data-driven decisions, and delivering measurable operational improvements.

What are some common challenges faced by operational data analysts when working with cross-functional teams?

Operational Data Analysts often work closely with departments such as operations, finance, and IT, each of which may have different data priorities and technical backgrounds. A common challenge is translating complex data findings into actionable insights for non-technical stakeholders while ensuring data integrity across systems. Effective communication and a collaborative approach are essential to align goals, clarify requirements, and ensure successful project outcomes.

What is the difference between Operational Data Analyst vs Data Analyst?

AspectOperational Data AnalystData Analyst
Required CredentialsBachelor's in Data Science, Business, or related field; proficiency in SQL, Excel, and data visualization toolsBachelor's in Statistics, Mathematics, or related field; similar technical skills
Work EnvironmentFocus on operational data, process improvement, and real-time analytics within organizationsBroader data analysis across various projects, including market research and reporting
Employer & Industry UsageUsed in industries like manufacturing, logistics, and retail for operational insightsCommon across finance, marketing, healthcare, and other sectors for data-driven decision-making

Operational Data Analysts specialize in analyzing operational data to improve processes and efficiency, often working closely with operational teams. Data Analysts have a broader scope, working on various data projects across different departments. While both roles require similar skills and education, their focus areas and typical industries differ, making each role unique in its contribution to organizational success.

Is an operational data analyst entry-level?

An operational data analyst role can be entry-level or require some experience, depending on the company. Entry-level positions typically require basic skills in data analysis tools like Excel or SQL and may offer on-the-job training. More advanced roles may require prior experience or certifications in data analysis or related fields.
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Operational Data Analyst jobs near you
Infographic showing various Operational Data Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Operational Data Analyst

Revenue Management Solutions, LLC

Oklahoma City, OK • On-site

Full-time

Re-posted 22 days ago

Job description

Job Summary:
Revenue Management Solutions, LLC is seeking an Operations Data Analyst to support their internal Operations Teams through data analysis. The role involves providing reporting, researching improvements for processing efficiency, and managing data extraction methods to enhance operations.
Responsibilities:
• Provide long-term reporting, team metrics and quality control insight using tools such as Microsoft SQL Server, Sisense, Excel, Python, and more
• Research and develop suggested improvements for production processing efficiency
• Create, test, and maintain SQL stored procedures alongside a Unit Test environment
• Work with proprietary software to manage internal document extraction methods through building, testing, and deployment pipelines
• Perform dataset collection for creation of new machine learning processes
• Perform data labelling and dataset refinement to fine-tune current and future machine learning methods
• Manage and resolve data extraction inconsistencies per client standard
• Other duties and responsibilities as assigned
Qualifications:
Required:
• 1-3 years SQL and Python
• Data Analytic/Mining skills required
• Experience with version control (GIT, CVS)
• Proficiency in MS Office Suite
• Problem-solving skills
• Excellent verbal and written communication skills
• Excellent organizational skills and attention to detail
• Able to multitask, prioritize, and manage time effectively
• Attention to detail
Preferred:
• Experience with Jira or similar ticket tools
• Experience with query performance tuning
• Experience troubleshooting in a live production environment
• Experience with large datasets
• Experience with high volume and fast turnaround
• Understanding of Healthcare claims and payments revenue cycle strongly desired
• A bachelor's degree in a technical field is not required, but preferred
Company:
Revenue Management Solutions (RMS) is a market leader in healthcare remittance processing since 2006, supporting a diverse network of healthcare providers and banking partners. Founded in 2006, the company is headquartered in Oklahoma City, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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